Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . At the time, the architecture typically included two tiers, where cloud providers hosted the backend and clients sent their requests via web applications. . So private clouds, or on-premises data centers, became more suitable for sensitive data.

Data Processing 87

Data Processing IoT Cost-Benefit Digital Transformation 87

AWS Big Data

FEBRUARY 27, 2024

Update the following information for the source: Uncomment hosts and specify the endpoint of the existing OpenSearch Service endpoint. Uncomment indices , include , index_name_regex , and add an index name or pattern that you want to migrate (for example, octank-iot-logs-2023.11.0* ). In short, he likes doing Eat → Travel → Repeat.

Metadata 92

Metadata Data Processing Dashboards IoT 92

CIO Business Intelligence

APRIL 25, 2022

WeCloudData is a data science and AI academy that offers a number of bootcamps as well as a diploma program and learning paths composed of sequential courses. Offerings include: a part-time and a full-time data science bootcamp, an AI engineering bootcamp, a part-time BI and data analytics bootcamp, and a data engineering bootcamp.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. usually a data warehouse) needs to reflect those changes in near real-time.

Data Warehouse 95

Data Warehouse Snapshot Data Processing Management 95

Smart Data Collective

SEPTEMBER 15, 2021

This very architecture ingests data right away while it is getting generated. It may consist of several components for different purposes, such as software for real-time processing, data manipulation and real-time data analytics. Processing of pieces of data in real-time is possible because of the streaming data option.

IoT 111

IoT Business Objectives Software Manufacturing 111

Smart Data Collective

MAY 17, 2021

Big data is at the heart of the digital revolution. Intrinsically, it can process information on a large scale, utilizing automation and smart analytics tools. Basing fleet management operations on data is not new, and in some ways, it’s always been a part of the industry. It also introduces operational efficiencies.

Big Data 102

Big Data Cost-Benefit IoT Machine Learning 102

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Technical Impact. Enterprise Machine Learning: .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

Big Data 79

Big Data Data Analytics Analytics Internet of Things 79

IBM Big Data Hub

MAY 26, 2023

This digitalization and need to share medical data are driving the demand for precision medical technologies. Leading life sciences companies are discovering the power of cloud in enabling analytics and artificial intelligence (AI) , shrinking innovation cycles, and standardizing processes across global operations, among other benefits.

Consulting 80

Consulting Cost-Benefit Optimization Machine Learning 80

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Testing 307

Testing Machine Learning Consulting Data Quality 307

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain.

Data Lake 76

Data Lake Data Analytics Analytics Data Processing 76

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. Connected Retail.

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

DECEMBER 1, 2023

Amazon Web Services (AWS), Google Cloud Services, IBM Cloud or Microsoft Azure)—hosts public cloud resources like individual virtual machines (VM) and services over the public internet. mainframe-based platforms) to deal with a large amount of sensitive data. fast and secure mobile banking apps).

Cost-Benefit 89

Cost-Benefit Data Processing Digital Transformation Testing 89

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

AWS Big Data

MARCH 20, 2024

For example, your company may want to centralize its clickstream data or log data from multiple different producers across different accounts. To build a multi-account streaming architecture, you can use Amazon Kinesis Data Streams as the stream storage and AWS Lambda as the event consumer. About the authors Pratik Patel is Sr.

Internet of Things 105

Internet of Things IoT Manufacturing Data Processing 105

IBM Big Data Hub

AUGUST 30, 2023

IBM Maximo Application Suite (MAS), the next generation of IBM Maximo, delivers a better user experience, faster integration, robust AI analytics and a broad range of cloud deployment options. IBM MAS provides organizations with a robust and modern asset management solution.

Data Processing 74

Data Processing Cost-Benefit Internet of Things Enterprise 74

IBM Big Data Hub

FEBRUARY 6, 2024

Cloud-based applications and services Cloud-based applications and services support myriad business use cases—from backup and disaster recovery to big data analytics to software development. Google Workspace, Salesforce). A private cloud environment is a cloud computing model dedicated to a single organization.

Cost-Benefit 109

Cost-Benefit Digital Transformation Software Modeling 109

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The job runs in the target account.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

IBM Big Data Hub

MAY 15, 2024

Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric.

Cost-Benefit 48

Cost-Benefit Data Integration Data Architecture Manufacturing 48

Cloudera

SEPTEMBER 6, 2022

Optimization Data lakehouse is the platform wherein the data assets reside. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. This is not a single repository, nor is it limited to the storage function.

Data Architecture 86

Data Architecture Cost-Benefit Digital Transformation Business Driver 86

Cloudera

JANUARY 3, 2019

This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Our platform runs in your data center. A new year is always an opportunity for change. We intend to win.

IoT 75

IoT Machine Learning Data Warehouse Enterprise 75

IBM Big Data Hub

JANUARY 29, 2024

Companies are becoming more reliant on data analytics and automation to enable profitability and customer satisfaction. It takes an organization’s on-premises data into a private cloud infrastructure and then connects it to a public cloud environment, hosted by a public cloud provider.

Digital Transformation 74

Digital Transformation Consulting Internet of Things Recreation/Entertainment 74

IBM Big Data Hub

DECEMBER 20, 2023

Private cloud infrastructure is a dedicated cloud infrastructure operated solely for a single organization, either on-premises or hosted by a third party. Workloads involving web content, big data analytics and AI are ideal for a hybrid cloud infrastructure.

Strategy 104

Strategy Cost-Benefit Digital Transformation Optimization 104

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

MARCH 20, 2024

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

Internet of Things 99

Internet of Things Cost-Benefit Data Processing IoT 99